Large-Scale Learnable Graph Convolutional Networks

12 August 2018

Papers citing "Large-Scale Learnable Graph Convolutional Networks"

50 / 195 papers shown

Title
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 60 0 0 24 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions Xiao Yang Gaolei Li Jianhua Li AAML AI4CE 51 1 0 08 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 41 0 0 04 Jan 2025
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Shravan Venkatraman Jaskaran Singh Walia J. Raheja ViT 36 0 0 14 Nov 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 28 7 0 25 Aug 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 41 0 0 27 Jul 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior Melanie Schaller Daniel Schlor Andreas Hotho 23 3 0 28 Jun 2024
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting Shuo Yu Feng Xia Yueru Wang Shihao Li F. Febrinanto Madhu Chetty 23 2 0 07 Jun 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 47 3 0 21 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 42 3 0 07 May 2024
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 38 0 0 26 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 42 0 0 19 Apr 2024
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 32 2 0 17 Apr 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems Inaam Ashraf Janine Strotherm L. Hermes Barbara Hammer AI4CE 35 6 0 27 Mar 2024
OpenGraph: Towards Open Graph Foundation Models Lianghao Xia Ben Kao Chao Huang AI4CE 35 37 0 02 Mar 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 23 55 0 13 Feb 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection H. Sahbi 29 0 0 28 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 39 4 0 19 Dec 2023
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design Tom McDonald Calvin Tsay Artur M. Schweidtmann Neil Yorke-Smith 66 14 0 02 Dec 2023
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction Xinshun Wang Wanying Zhang Can Wang Yuan Gao Mengyuan Liu 3DH GNN 41 32 0 29 Nov 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion H. Sahbi Sebastien Deschamps 29 0 0 26 Sep 2023
Deep Prompt Tuning for Graph Transformers Reza Shirkavand Heng-Chiao Huang 23 7 0 18 Sep 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Xia Hu 41 11 0 22 Jul 2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection Fu Lin Haonan Gong Mingkang Li Zitong Wang Yue Zhang Xuexiong Luo 43 1 0 22 Jul 2023
Adaptive Graph Convolution Networks for Traffic Flow Forecasting Zhengdao Li W. Li K. Hwang AI4TS AI4CE 22 1 0 07 Jul 2023
A Survey on Graph Classification and Link Prediction based on GNN Xingyu Liu Juan Chen Q. Wen GNN 26 10 0 03 Jul 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 31 0 0 23 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 19 5 0 21 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 42 5 0 18 Jun 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 18 1 0 21 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks Pooyan Khosravinia Thinagaran Perumal Javad Zarrin 24 7 0 08 May 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 29 1 0 01 Mar 2023
DeepSeq: Deep Sequential Circuit Learning Sadaf Khan Zhengyuan Shi Min Li Qiang Xu GNN 31 8 0 27 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lió F. Scarselli Andrea Passerini AI4CE 25 50 0 02 Feb 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 32 7 0 12 Jan 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 23 0 0 28 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 26 0 0 19 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 16 0 0 09 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 28 16 0 07 Dec 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems Inaam Ashraf L. Hermes André Artelt Barbara Hammer GNN 24 7 0 17 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 24 6 0 08 Nov 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 35 10 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 41 57 0 14 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 26 2 0 08 Oct 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 45 20 0 12 Sep 2022
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath Shuai Ma Jian-wei Liu Xin Zuo SSL 37 5 0 09 Sep 2022
Phishing URL Detection: A Network-based Approach Robust to Evasion Taeri Kim Noseong Park Jiwon Hong Sang-Wook Kim 26 22 0 03 Sep 2022
Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey Ayush Kumar P. Nagarkar Prabhav Nalhe Sanjeev Vijayakumar 19 17 0 08 Aug 2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning Shijie Zhou Zhimeng Guo Charu C. Aggarwal Xiang Zhang Suhang Wang 28 15 0 03 Aug 2022